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RussianSuperGLUE: A Russian Language Understanding Evaluation Benchmark

Nov 02, 2020
Tatiana Shavrina, Alena Fenogenova, Anton Emelyanov, Denis Shevelev, Ekaterina Artemova, Valentin Malykh, Vladislav Mikhailov, Maria Tikhonova, Andrey Chertok, Andrey Evlampiev

* to appear in EMNLP 2020 

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Improving unsupervised neural aspect extraction for online discussions using out-of-domain classification

Jun 17, 2020
Anton Alekseev, Elena Tutubalina, Valentin Malykh, Sergey Nikolenko

* Journal of Intelligent & Fuzzy Systems, pre-press, 

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The Russian Drug Reaction Corpus and Neural Models for Drug Reactions and Effectiveness Detection in User Reviews

Apr 07, 2020
Elena Tutubalina, Ilseyar Alimova, Zulfat Miftahutdinov, Andrey Sakhovskiy, Valentin Malykh, Sergey Nikolenko

* 9 pages, 9 tables, 4 figures 

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RecVAE: a New Variational Autoencoder for Top-N Recommendations with Implicit Feedback

Dec 24, 2019
Ilya Shenbin, Anton Alekseev, Elena Tutubalina, Valentin Malykh, Sergey I. Nikolenko

* In The Thirteenth ACM International Conference on Web Search and Data Mining (WSDM '20), February 3-7, 2020, Houston, TX, USA. ACM, New York, NY, USA, 9 pages 

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The Second Conversational Intelligence Challenge (ConvAI2)

Jan 31, 2019
Emily Dinan, Varvara Logacheva, Valentin Malykh, Alexander Miller, Kurt Shuster, Jack Urbanek, Douwe Kiela, Arthur Szlam, Iulian Serban, Ryan Lowe, Shrimai Prabhumoye, Alan W Black, Alexander Rudnicky, Jason Williams, Joelle Pineau, Mikhail Burtsev, Jason Weston

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AspeRa: Aspect-based Rating Prediction Model

Jan 23, 2019
Sergey I. Nikolenko, Elena Tutubalina, Valentin Malykh, Ilya Shenbin, Anton Alekseev

* accepted to ECIR 2019 

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Self-Attentive Model for Headline Generation

Jan 23, 2019
Daniil Gavrilov, Pavel Kalaidin, Valentin Malykh

* accepted for ECIR 2019 

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Sequence Learning with RNNs for Medical Concept Normalization in User-Generated Texts

Nov 29, 2018
Elena Tutubalina, Zulfat Miftahutdinov, Sergey Nikolenko, Valentin Malykh

* Journal of Biomedical Informatics. - 2018. - Vol.84, Is.. - P.93-102 
* Machine Learning for Health (ML4H) Workshop at NeurIPS 2018 arXiv:1811.07216 

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